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GreenSlope

Reliability for teams that ship fast

Catch regressions before they become postmortems.

GreenSlope is Auto-SRE for small teams: deploy-aware error tracking, AI-assisted triage, Slack incident loops, and OpenTelemetry SLOs.

app.greenslope.io/incidents/INC-4182
SEV-2 · ACTIVE

Checkout p95 elevated on eu-west-2

14:32:06 UTC · 12m

p95 latency

0ms+412%

error rate

0.0%+2.8pp

throughput

0rps−6%

AI-assisted triage · draft for review

Latency regressed at 14:19 UTC, 2 min after deploy a7f3c9d to payment-service. Introduces an uncached call to payments.PaymentIntents.retrieve inside the cart-total loop. Suggested next step: review rollback or add Redis cache.

Timeline

Last 15 minutes · UTC

  • 14:17:42Deploy payment-service a7f3c9d by m.chenDEPLOY
  • 14:18:30Traffic shifted 25% → new revisionROLLOUT
  • 14:19:51p95 latency breaches SLO (800ms)TRIGGER
  • 14:22:14Slack alert posted · routed to #checkout-oncallALERT
  • 14:32:06Likely-cause summary draftedAI

Live · DESIGN PREVIEW

Where users are hitting issues, right now.

Each pulse is a real user running into an error somewhere in the world. The map is illustrative; we'll wire it up to live telemetry once the design lands.

§ 01What GreenSlope does
Product proof

Three jobs done clearly.

Deploy-aware error tracking

Every trace is tagged with service, version, and release ID so regressions can be discussed in terms of the deploy that introduced them.

ConnectsTracesDeploysReleases

AI-assisted triage

GreenSlope assembles likely cause, affected endpoints, and recent changes into a reviewable incident summary. It suggests; humans decide.

SurfacesLikely causeBlast radiusNext step

Incident loop in Slack

Alerts, acknowledgements, rollback links, updates, and postmortem drafts stay in Slack so responders keep their working context.

PowersAckSnoozeDraft
§ 02Deploy-aware tracking
Workflow

See the deploy in the same place as the symptom.

How it works

Find the release first.

GreenSlope combines OpenTelemetry traces with deploy context from Vercel, GitHub, or your release attributes. When a regression shows up, the alert starts with the release and service context instead of a blank graph.

Telemetry

OTel traces

Release context

Git SHA

Human action

Approve

Deploy timeline · checkout-service

example workflow

p95 latency for payment-service over 24 hours, with deploy markers and a regression. Latency holds between 175ms and 200ms through the morning, then climbs sharply after the 14:00 deploy (a7f3c9d), breaching the 800ms SLO around 14:45 and peaking near 1320ms by 15:30.
p95 latency by time, in milliseconds. Deploys occurred at 09:30, 11:00, 12:30 and 14:00. The 14:00 deploy (a7f3c9d) is the regression culprit; the 800ms SLO is breached at 14:45.
Timep95 latency (ms)Event
09:00190
09:30180Deploy
10:00175
10:30185
11:00180Deploy
11:30178
12:00182
12:30188Deploy
13:00192
13:30195
14:00198Deploy a7f3c9d (regression)
14:15245
14:30540
14:45980SLO breach
15:001240SLO breach
15:301320SLO breach
p95 latencySLO targetsuspected deploy

AI-assisted triage

A likely-cause summary, ready for human review.

GreenSlope reads recent traces, deploy context, and affected endpoints, then drafts the incident context your on-call engineer would otherwise assemble by hand.

Decision boundary

Human

Input

Traces + deploys

Output

Draft context

Triage trace · example incident

draft only

  • 00:02Collected recent trace contextcheckout-service
  • 00:07Grouped slow and erroring spansone cluster stands out
  • 00:14Matched symptoms to deploy windowrelease a7f3c9d
  • 00:22Summarised affected endpointscheckout submit path
  • 00:31Drafted likely-cause summaryhuman review required

Incident loop in Slack

Alert, triage, action, and postmortem draft stay in the channel.

GreenSlope brings deploy context and AI-assisted triage into Slack, then leaves the decision to the responder.

Primary surface

Slack

Actions

Ack · Snooze · Resolve

Automation

Draft only

Slack · #inc-checkout-regression
G

GreenSlope

app · now

SEV-2 suspected checkout regression. Error rate rose after release a7f3c9d. Affected path: POST /checkout.

M

Maya

on-call · acked

Acked. Checking the suspected release and affected traces.

G

GreenSlope

app · triage draft

Likely cause: new tax lookup call on checkout submit. Suggested next step: rollback or cache the lookup path. Human approval required.

M

Maya

on-call · resolved

Rollback approved. Keep drafting the postmortem timeline.

§ 03The loop
One product, four steps

Ship · Observe · Respond · Learn.

1

Ship

Deploy context lands in GreenSlope from Vercel, GitHub, or release attributes.

2

Observe

Traces and errors are tied back to the release that introduced them.

3

Respond

GreenSlope drafts likely cause and next step. On-call approves, rolls back, or investigates.

4

Learn

A postmortem draft is in your channel within minutes of resolve.

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